DBMS > AlaSQL vs. GreptimeDB vs. jBASE vs. OrientDB vs. TerminusDB

System Properties Comparison AlaSQL vs. GreptimeDB vs. jBASE vs. OrientDB vs. TerminusDB

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

An open source Time Series DBMS built for increased scalability, high performance and efficiency

A robust multi-value DBMS comprising development tools and middleware

Multi-model DBMS (Document, Graph, Key/Value)

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Primary database model

Document store
Relational DBMS

Time Series DBMS

Multivalue DBMS

Document store
Graph DBMS
Key-value store

Graph DBMS

Secondary database models

Document store
RDF store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.51
Rank	#256	Overall
	#40	Document stores
	#118	Relational DBMS

Score	0.12
Rank	#351	Overall
	#34	Time Series DBMS

Score	1.49
Rank	#156	Overall
	#3	Multivalue DBMS

Score	3.25
Rank	#89	Overall
	#16	Document stores
	#6	Graph DBMS
	#13	Key-value stores

Score	0.23
Rank	#316	Overall
	#27	Graph DBMS

Website

alasql.org

greptime.com

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-jbase

orientdb.org

terminusdb.com

Technical documentation

github.com/AlaSQL/alasql

docs.greptime.com

docs.rocketsoftware.com/bundle?labelkey=jbase_5.9

www.orientdb.com/docs/last/index.html

terminusdb.github.io/terminusdb/#

Developer

Andrey Gershun & Mathias R. Wulff

Greptime Inc.

Rocket Software (formerly Zumasys)

OrientDB LTD; CallidusCloud; SAP

DataChemist Ltd.

Initial release

2014

2022

1991

2010

2018

Current release

5.7

3.2.29, March 2024

11.0.0, January 2023

License

Commercial or Open Source

Open Source

MIT-License

Open Source

Apache Version 2.0

commercial

Open Source

Apache version 2

Open Source

GPL V3

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

JavaScript

Rust

Java

Prolog, Rust

Server operating systems

server-less, requires a JavaScript environment (browser, Node.js)

Android
Docker
FreeBSD
Linux
macOS
Windows

AIX
Linux
Windows

All OS with a Java JDK (>= JDK 6)

Linux

Data scheme

schema-free

schema-free, schema definition possible

schema-free

Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")

yes

Typing

predefined data types such as float or date

yes

optional

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

Close to SQL99, but no user access control, stored procedures and host language bindings.

yes

Embedded SQL for jBASE in BASIC

SQL-like query language, no joins

SQL-like query language (WOQL)

APIs and other access methods

JavaScript API

gRPC
HTTP API
JDBC

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

JavaScript

C++
Erlang
Go
Java
JavaScript

.Net
Basic
Jabbascript
Java

.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala

JavaScript
Python

Server-side scripts

Stored procedures

Python

yes

Java, Javascript

yes

Triggers

yes

Hooks

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Multi-source replication

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

could be achieved with distributed queries

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

relationship in graphs

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

yes

only for local storage and DOM-storage

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

in-memory journaling

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Simple rights management via user accounts

Access rights can be defined down to the item level

Access rights for users and roles; record level security configurable

Role-based access control

More information provided by the system vendor

Specific characteristics

GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more

Competitive advantages

- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more

Typical application scenarios

For IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more

Key customers

Greptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more

Market metrics

GreptimeDB has garnered global recognition by topping GitHub trends following its...
» more

Licensing and pricing models

GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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